ID 原文 译文
40186 在室内典型办公环境下的定位实验表明，本定位技术在降低在线匹配计算量的同时能保持良好的定位效果，在参考位置点间隔1.8 m时，平均定位误差为1.73 m。 Experimental results indicate that the proposed algorithm leads to an improvement on the fine positioning accuracy and online complexity. An average positioning error of 1.73 m is achieved with grid spacing of 1.8 m.
40187 针对基于WiFi位置指纹的室内定位中设备异构带来的接收信号强度（Received signal strength，RSS）差异和定位精度偏移的问题，提出一种基于深度特征挖掘的免校准室内定位方法。 A calibration-free indoor positioning method based on depth feature mining is proposed to solve the problem of RSS difference and positioning accuracy offset caused by heterogeneous devices in indoor positioning based on WiFi location fingerprint.
40188 离线阶段，结合最强接入点（Access point，AP）分类和普氏分析（Procrustes analysis）对原始指纹库处理，获取标准化子指纹库， In the offline stage, the original fingerprint database is processed by the combination of the strongest access point(AP)classification and procrustes analysis, and the standardized sub-fingerprint database is acquired.
40189 采用堆叠降噪自编码器（Stacked denoising autoencoder，SDAE）学习标准化子指纹库获取深度特征指纹，构建深度特征子指纹库。 Stacked denoising autoencoder(SDAE)is used to learn the standardized sub-fingerprint database to obtain the depth feature fingerprint and construct the depth feature sub-fingerprint database.
40190 在线阶段，利用与离线阶段相同的指纹处理方法，挖掘待定位点RSS数据的深度特征，采用加权最近邻算法（Weighted k-nearest neighbor，WKNN）与深度特征子指纹库匹配，获得估计的位置。 In the online stage, the same fingerprint processing method as the offline stage is used to mine the depth features of RSS data, and the WKNN method is used to match the depth feature sub-fingerprint database to obtain the estimated position.
40191 在典型实验楼场景使用4种异构类型的手机进行实验，本文方法对比传统的标准化指纹的两种免校准方法，定位精度分别有5.9%和12.5%的提升， Four different types of mobile phones are used in typical experimental building scenarios. Compared with the traditional standard fingerprint calibration methods, the positioning accuracy of the proposed method is improved by 5.9% and12.5%, respectively.
40192 实验结果表明，本文算法提高了定位的准确性和鲁棒性。 Experimental results show that the proposed algorithm improves the positioning accuracy and robustness.
40193 随着通信技术和智能终端的发展，移动内容消费出现了明显的增长。 With the development of communication technology and the boost of intelligent terminals, mobile content consumption has been witnessed a significant increase.
40194 人们随时随地享受无线网络带来的多媒体娱乐体验的同时，也给蜂窝网络带来了巨大的压力，尤其是热门视频的重复传输，浪费了网络资源。 While people enjoy the multimedia entertainment experience brought by wireless network anytime and anywhere, it also brings great pressure to the cellular networks, especially the repeated transmissions of popular videos, which leads to the waste of network resources.
40195 预存储技术被认为是解决这类问题的有效方法。 The caching technology is considered to be an effective way to solve such problems.